出版科学 ›› 2026, Vol. 34 ›› Issue (1): 34-42.

• 事业与产业 • 上一篇    下一篇

人智协同儿童绘本创作的价值基底、路径机制与实践指向

  

  1. （内蒙古师范大学设计学院，呼和浩特，010022）（内蒙古师范大学设计学院，呼和浩特，010022）（内蒙古师范大学 计算机科学技术学院，呼和浩特，010022）
  • 收稿日期:2025-03-20 修回日期:2025-06-17 出版日期:2026-02-09 发布日期:2026-02-09
  • 作者简介:雷青，内蒙古师范大学设计学院教授、硕士生导师 ; 刘锦桐，内蒙古师范大学设计学院 2022 级硕士生； 王海龙，内蒙古师范大学计算机科学技术学院教授、硕士生导师。
  • 基金资助:
    本文系科技部国家重点研发计划“公共文化服务装备研发及应用示范”(2020YFC1523300)、内蒙古研 究生教改项目“交叉学科背景下设计学研究范式转型与实践”（JG2024016C) 的研究成果之一。

The Value Foundation， Path Mechanism and Practical Orientation of Human-AIGC Collaboration in Children’ s Picture Book Creation

  1. （School of Design， Inner Mongolia Normal University， Hohhot， 010022）（School of Design， Inner Mongolia Normal University， Hohhot， 010022）（College of Computer Science and Technology， Inner Mongolia Normal University， Hohhot， 010022）
  • Received:2025-03-20 Revised:2025-06-17 Online:2026-02-09 Published:2026-02-09

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摘要： 通过生成式人工智能介入儿童绘本创作的价值阐释与人智协同模式的梳理，提出以传统儿童绘本创作流程为链，按照选题策划、主题核心确立、内容生产与媒介表达4阶段进行任务规划，从人智任务目标设定与分解、提示与参考、调节与控制、结果反馈、循环修正和任务收尾6个环节创建人智协同工作流的路径机制；并提出以智驭智、以智增智、情智融合、以智补智的人智协同实践指向，善用工具势能，以人为中心、体验驱动完善人智协作机制。

Abstract: Through interpreting the value of generative AI’ s intervention in children’ s picture book creation and organizing the human-AI collaborative models, this study puts forward a task planning approach that follows the chain of the traditional children’ s picture book creation process, dividing it into four stages: topic planning, establishment of the core theme, content production and media expression. It establishes a pathway mechanism for the human-AI collaborative workflow through six key links: setting and decomposing human-AI task objectives, providing prompts and references, regulating and controlling the process, delivering result feedback, making iterative corrections, and concluding tasks. Furthermore, it proposes some practical orientations for human-AI collaboration: harnessing intelligence to guide intelligence, augmenting intelligence with intelligence, integrating emotional and intellectual aspects, and supplementing intelligence with intelligence. By effectively utilizing the potential of tools and centering on human needs and experience-driven refinement, this approach improves the human-AI collaboration mechanism.

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